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Method to recommend characteristics of posts to reach publication goals

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that provides recommendations for the characteristics of a post that help the post reach a certain goal in the form of desired user reactions and behaviors. The system does this based on learning the characteristics of and reactions to previous posts, developing associated statistics, and making recommendations to increase a post’s effectiveness.

Country

Undisclosed

Language

English (United States)

This text was extracted from a PDF file.

This is the abbreviated version, containing approximately
27% of the total text.

Method to Recommend Characteristics of Posts to Reach Publication Goals
Abstract
Disclosed is a system that provides recommendations for the characteristics of a post
that help the post reach a certain goal in the form of desired user reactions and
behaviors. The system does this based on learning the characteristics of and reactions
to previous posts, developing associated statistics, and making recommendations to
increase a post’s effectiveness.
Many factors (e.g., tone, language, colors, use of media, images, texts, etc.) affect the
reaction of the user to a specific piece of digital content. Also, the characteristics of the
population (e.g., geography, gender, studies, etc.) determine the user’s reaction to the
same piece of digital content. The context (e.g., weather conditions, etc.) can also
influence on the user’s actions to like a post or purchase a product.
Current methods to predict if a campaign will be effective do not indicate which
characteristics of the digital content caused success or failure. Some applications can
deliver certain content to a specific target population; however, these do not indicate to
the posting entity, in a customized way, what to include in the publication or how to
include it to reach other kinds of goals, such as emotional response goals. Existing
cognitive analysis systems can indicate whether a body of text is adequate for an
audience; however, the Application Programming Interface (API) function does not
reveal the specific characteristics that make the content "adequate". Additionally, the
concept of "adequate" is fixed, and not related to a user goal (it is more related to
understanding of the message).
A method or system is needed to determine and learn which characteristics of a
publication help the posting entity to reach a goal. In addition, the system must be able
to make recommendations about content based on the identified influential
characteristics.
The novel contribution is a system and method that identify and recommend optimal
publication characteristics for achieving a specific goal by learning the users’
reactions/responsive behavior to existing context on social media. The system can
recommend characteristics of a post to publish on social networks according to the
specified goals of the publisher. The system learns by analyzing data elements
published across social media networks and determining the level of efficiency these
have in reaching a certain audience and/or the associated user reactions.
Examples of goals provided by the publishing entity (e.g., the social media owner and/or
content manager) include, but are not limited to, reaching:

• A certain number of views by certain populations
• A certain number of reactions by certain populations (e.g., 100 purchases, 1,000

likes in 20-30-year-old persons in X region over 60 days with no more than four
reshares levels)